MFAUNet: Multiscale feature attentive U‐Net for cardiac MRI structural segmentation
Abstract The accurate and robust automatic segmentation of cardiac structures in magnetic resonance imaging (MRI) is significant in calculating cardiac clinical functional indices, and diagnosing heart diseases. Most U‐Net based methods use pooling, transposed convolution, and skip connection operat...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-03-01
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| Series: | IET Image Processing |
| Online Access: | https://doi.org/10.1049/ipr2.12406 |